Problem Link

Description


In English, we have a concept called root, which can be followed by some other word to form another longer word - let's call this word derivative. For example, when the root "help" is followed by the word "ful", we can form a derivative "helpful".

Given a dictionary consisting of many roots and a sentence consisting of words separated by spaces, replace all the derivatives in the sentence with the root forming it. If a derivative can be replaced by more than one root, replace it with the root that has the shortest length.

Return the sentence after the replacement.

 

Example 1:

Input: dictionary = ["cat","bat","rat"], sentence = "the cattle was rattled by the battery"
Output: "the cat was rat by the bat"

Example 2:

Input: dictionary = ["a","b","c"], sentence = "aadsfasf absbs bbab cadsfafs"
Output: "a a b c"

 

Constraints:

  • 1 <= dictionary.length <= 1000
  • 1 <= dictionary[i].length <= 100
  • dictionary[i] consists of only lower-case letters.
  • 1 <= sentence.length <= 106
  • sentence consists of only lower-case letters and spaces.
  • The number of words in sentence is in the range [1, 1000]
  • The length of each word in sentence is in the range [1, 1000]
  • Every two consecutive words in sentence will be separated by exactly one space.
  • sentence does not have leading or trailing spaces.

Solution


Python3

class TrieNode:
    def __init__(self):
        self.children = defaultdict(TrieNode)
        self.word = None
 
class Trie:
    def __init__(self):
        self.root = TrieNode()
 
    def insert(self, word: str) -> None:
        curr = self.root
        
        for x in word:
            curr = curr.children[x]
            
        curr.word = word
 
    def search(self, word: str) -> bool:
        curr = self.root
        
        for x in word:
            if curr.word is not None: return curr.word
 
            if x not in curr.children: return None
            
            curr = curr.children[x]
        
        return None
 
class Solution:
    def replaceWords(self, dictionary: List[str], sentence: str) -> str:
        trie = Trie()
 
        for word in dictionary:
            trie.insert(word)
 
        res = []
        for word in sentence.split():
            w = trie.search(word)
 
            if w is not None:
                res.append(w)
            else:
                res.append(word)
        
        return " ".join(res)